In silico and functional analysis identifies key gene networks and novel gene candidates in obesity‐linked human visceral fat
Authors' conclusion
This approach highlights the network architecture in human obesity, identifies novel candidate genes, and generates new hypotheses regarding network-assisted gene regulation in VAT.
Study context
- Population
- Chinese patients with and without obesity; human visceral adipose tissue (VAT)
- Participants
- 48 vs 11
- Comparison
- VAT from patients with vs without obesity
- Obesityn = 48
- Nonobesityn = 11reference
- Outcome
- Gene regulatory networks in VAT
Methodological detailsgene coexpression and gene regulatory network construction from RNA-sequencing data, RNA interference-based functional tests
- Gene coexpression and gene regulatory network construction from RNA-sequencing data
- RNA interference-based functional tests
Main finding
As reported in the abstract
Differentially expressed genes forming a scale-free coexpression network (absolute log fold change > 1, FDR < 0.05; edge probability > 0.8)
360
Subnetworks (communities) with altered connectivity between obesity and nonobesity networks
15
Original publication
In silico and functional analysis identifies key gene networks and novel gene candidates in obesity‐linked human visceral fat. Obesity (Silver Spring). Published 5 November 2024. doi:10.
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